Picture of Johannes Teutsch

M.Sc. Johannes Teutsch

Technical University of Munich

Postal address

Postal:
Theresienstr. 90
80333 München

Place of employment

Chair of Automatic Control Engineering (Prof. Buss)

Work:
Theresienstr. 90(0105)/II
80333 München

Research Interests

  • Data-Driven & Learning-Based Control
  • Robust & Stochastic Model Predictive Control (MPC)

Data-driven Stochastic MPC

Successfully implementing MPC schemes heavily relies on the accuracy of the underlying system model, which can be difficult to identify in general. We study the integration of direct data-driven control concepts into Stochastic MPC frameworks for the efficient control of unknown systems in uncertain environments. The control of power grids, building climate, and quadrocopter are a few potential fields of application of the proposed controller.

Details

Short Biography

Since11/2021

Research Associate / PhD Candidate

Chair of Automatic Control Engineering

Technical University Munich (TUM)

10/2019 – 10/2021

Master of Science, Electrical Engineering and Information Technology

Focus: Control Theory, Automation, Machine Learning

Technical University Munich (TUM)

10/2016 – 07/2019

Bachelor of Science, Electrical Engineering and Information Technology

Focus: Control Theory, Circuit Theory

Technical University Munich (TUM)

PUBLICATIONS

2023

  • Kerz, Sebastian; Teutsch, Johannes; Brüdigam, Tim; Leibold, Marion; Wollherr, Dirk: Data-Driven Tube-Based Stochastic Predictive Control. IEEE Open Journal of Control Systems , 2023 more…
  • Teutsch, Johannes; Ellmaier, Sebastian; Kerz, Sebastian; Wollherr, Dirk; Leibold, Marion: An Online Adaptation Strategy for Direct Data-driven Control. IFAC World Congress 2023, 2023, 6 more…
  • Teutsch, Johannes; Kerz, Sebastian; Brüdigam, Tim; Wollherr, Dirk; Leibold, Marion: Offline Uncertainty Sampling in Data-driven Stochastic MPC. IFAC World Congress 2023, 2023, 7 more…

2021

  • Brüdigam, Tim; Teutsch, Johannes; Wollherr, Dirk; Leibold, Marion; Buss, Martin: Probabilistic Model Predictive Control for Extended Prediction Horizons. at - Automatisierungstechnik 69 (9), 2021, 759-770 more…

2020

  • Brüdigam, Tim; Teutsch, Johannes; Wollherr, Dirk; Leibold, Marion: Combined Robust and Stochastic Model Predictive Control for Models of Different Granularity. 21st IFAC World Congress, 2020 more…